12 citations · 15 across the 17 of their papers we have counts for
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Choose Your Battles: Distributed Learning Over Multiple Tug of War Games
Siddharth Chandak, Ilai Bistritz, Nicholas Bambos
Consider players and games taking place simultaneously. Each of these games is modeled as a Tug-of-War (ToW) game where increasing the action of one player decreases the re…
Finite-Time Bound for Non-Linear Two-Time-Scale Stochastic Approximation
Siddharth Chandak
Two-time-scale stochastic approximation (SA) is an algorithm with coupled iterations which has found broad applications in reinforcement learning, optimization and game control. In…
Optimal Control for Remote Patient Monitoring with Multidimensional Health States
Siddharth Chandak, Isha Thapa, Nicholas Bambos +1
Selecting the right monitoring level in Remote Patient Monitoring (RPM) systems for e-healthcare is crucial for balancing patient outcomes, various resources, and patient's quality…
Finite-Time Bounds for Two-Time-Scale Stochastic Approximation with Arbitrary Norm Contractions and Markovian Noise
Siddharth Chandak, Shaan Ul Haque, Nicholas Bambos
Two-time-scale Stochastic Approximation (SA) is an iterative algorithm with applications in reinforcement learning and optimization. Prior finite time analysis of such algorithms h…
Non-Expansive Mappings in Two-Time-Scale Stochastic Approximation: Finite-Time Analysis
Siddharth Chandak
Two-time-scale stochastic approximation algorithms are iterative methods used in applications such as optimization, reinforcement learning, and control. Finite-time analysis of the…